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Behavioral Health Use Case

Continuous Assessment

Powered by Videra AI

AI-powered check-ins via video, voice, or chat capture emotional and cognitive signals aligned to validated clinical measures—detecting subtle shifts that traditional methods miss.

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3min

Average Completion

20+

Validated Measures

397

Facilities Using Assess

8x

More Touchpoints

How It Works

Deploy this use case in weeks. See results immediately.

1

Check-in Scheduled

Automated or on-demand assessments sent to patient's device.

2

Patient Engages

Brief video, voice, or text interaction—3 minutes average.

3

AI Analysis

Multi-modal signals analyzed against validated clinical measures.

4

Insights Delivered

Results and alerts available in provider dashboard and EHR.

Capabilities

What Videra AI enables for this use case.

Multi-Modal Assessment

Video, voice, or chat-based check-ins that meet patients where they are comfortable.

AI Signal Detection

Analyzes facial expressions, vocal patterns, and linguistic cues to detect subtle changes in mental state.

Validated Instruments

Aligned to gold-standard measures like PHQ-9, GAD-7, Columbia Suicide Severity Rating Scale, and more.

Longitudinal Tracking

Track patient progress over time with objective, consistent measurements between sessions.

Real-Time Alerts

Immediate notification when AI detects significant changes or elevated risk indicators.

Patient-Friendly

Simple, accessible interface that patients can use from any device, at any time.

"
We've caught deterioration early multiple times that we would have missed with traditional methods.
DLP

Dr. Lisa Park

Chief Psychiatrist, Mountain View Mental Health

Part of Something Bigger

This use case connects to the broader Videra AI platform.

Standalone Value

Deploy this use case by itself. See ROI before expanding.

Shared Intelligence

Add more use cases and they all get smarter together.

Grow When Ready

Each use case is priced independently. Expand at your pace.

Ready for continuous measurement?

Deploy Continuous Assessment and gain deeper insight into patient progress.

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